Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6150
Single Precision Score
2342
Half Precision Score
10982
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | July 18 2025 09:23 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4919
914.9 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.0 IPS |
|
|
Image Classification (Q)
|
99% |
8418
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16757
272.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12591
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7817
9.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
42048
49.3 IPS |
|
|
Object Detection (SP)
|
100% |
4364
346.1 IPS |
|
|
Object Detection (HP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
86% |
11855
952.8 IPS |
|
|
Face Detection (SP)
|
100% |
14794
175.8 IPS |
|
|
Face Detection (HP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
13692
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12552
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3281
25.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18846
150.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26913
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17144
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33353
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6380
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2894
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4184
84.1 IPS |
